Cargando…

Looking at crime-communities and physical spaces: A curated dataset

This article describes a curated dataset entitled “Looking at Crime: Communities and Physical Spaces”, which comprises data from different sources, namely Diagnosis of Local Security (DLS), Diagnosis of School Environment (DSE) and observation of physical spaces. The main topic covered was crime and...

Descripción completa

Detalles Bibliográficos
Autores principales: Azevedo, Vanessa, Maia, Rui Leandro, Guerreiro, Maria João, Oliveira, Gisela, Sani, Ana, Caridade, Sónia, Dinis, Maria Alzira Pimenta, Estrada, Rui, Paulo, Daniela, Magalhães, Mariana, Nunes, Laura M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605376/
https://www.ncbi.nlm.nih.gov/pubmed/34841016
http://dx.doi.org/10.1016/j.dib.2021.107560
Descripción
Sumario:This article describes a curated dataset entitled “Looking at Crime: Communities and Physical Spaces”, which comprises data from different sources, namely Diagnosis of Local Security (DLS), Diagnosis of School Environment (DSE) and observation of physical spaces. The main topic covered was crime and related variables at the Historic Centre of Porto (HCP), a well-known urban area located in the North of Portugal. It is currently attended by inhabitants, workers, students and tourists. This dataset includes i) data from two different self-reports: i.1) demographics, perception of (in)security, victimization, social control and community cohesion obtained through an inquiry applied to the adult community; and i.2) data from school climate and students behavioural problems, which may be seen as risk factors for juvenile delinquency, collected through a web-survey applied to school personnel; and ii) data from observation of physical spaces, attending to the Crime Prevention through Environmental Design (CPTED) principles. The dataset allows descriptive and inferential statistical analyses, being useful for students, academics, stakeholders, police forces and policy-makers, to better understand crime and its related variables, forecast criminal incidents, and further develop associated preventive and intervention programmes.